probability density function
31Probability amplitude — In quantum mechanics, a probability amplitude is a complex valued function that describes an uncertain or unknown quantity. For example, each particle has a probability amplitude describing its position. This amplitude is the wave function,… …
32Density estimation — In probability and statistics, density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to… …
33Probability metric — A probability metric is a function defining a distance between random variables or vectors. In particular the probability metric does not satisfy the identity of indiscernibles condition required to be satisfied by the metric of the metric… …
34probability distribution — noun Date: 1920 probability function; also probability density function 2 …
35probability distribution — noun : probability function ; also : probability density function 2 …
36probability curve — noun : a curve that represents a probability density function : frequency curve * * * Statistics. 1. a curve that describes the distribution of probability over the values of a random variable. 2. See normal curve. [1890 95] * * * probability… …
37Density of states — Condensed matter physics Phases · Phase tr …
38Notation in probability and statistics — Probability theory and statistics has some commonly used conventions of its own, in addition to standard mathematical notation and mathematical symbols. Contents 1 Probability theory 2 Statistics 3 Critical values …
39Probability current — In quantum mechanics, the probability current (sometimes called probability flux) is a concept describing the flow of probability density. In particular, if one pictures the probability density as an inhomogeneous fluid, then the probability… …
40Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of …
